Survey of Text Mining: Clustering, Classification, and Retrieval (Paperback, Softcover Repri)

I: CLUSTERING & CLASSIFICATION: Cluster-preserving dimension reduction methods for efficient classification of text data Automatic discovery of similar words Simultaneous clustering and dynamic keyword weighting for text documents Feature selection and document clustering II: INFORMATION EXTRACTION & RETRIEVAL: Vector space models for search and cluster mining HotMiner--Discovering hot topics from dirty text Combining families of information retrieval algorithms using meta-learning III: TREND DETECTION: Trend and behavior detection from Web queries A survey of emerging trend detection in textual data mining Index